Go from @huggingface dataset → interactive embedding visualization, one command. Generates embeddings on a GPU via HF Jobs, deploys as a static Space using @Apple's Embedding Atlas. Search, filter, zoom - all in the browser with WebGPU. Script + docs: https://t.co/WeKW8XXN51 https://t.co/aNGpVIidUe

+1 more

ICYMI @huggingface Text Embeddings Inference v1.9+ now supports @nvidia Blackwell instances 💥 More in the thread 🧵 https://t.co/4HfmQn2Eca

@snwy_me very cool! I love to see all the different directions people take it in, here esp the CLI, TUI, tool use aspects.

@ChrisUniverseB Sorry

@Osama11 That's a different issue. We're changing it to "Hey Perplexity"

@h9lxyz You will hear from us soon on usage based pricing.

Thank AK a lot for sharing our work 🤝

Thank AK a lot for sharing our work 🤝

AutoResearch-RL Perpetual Self-Evaluating Reinforcement Learning Agents for Autonomous Neural Architecture Discovery paper: https://t.co/M92rs8MfIg https://t.co/MEF5wjtLns

We made a blind taste test to see whether NYT readers prefer human writing or AI writing. 86,000 people have taken it so far, and the results are fascinating. Overall, 54% of quiz-takers prefer AI. A real moment! https://t.co/Gpbr3TAiiI

I think this is worth noting.

Ex-Meta AI chief Yann LeCun's AMI raises $1.03 billion for alternative AI approach https://t.co/0C7TO7Pb0c https://t.co/0C7TO7Pb0c

@WolframRvnwlf @altryne Love you all!

New Gemini updates to make @GoogleWorkspace more personal, helpful and collaborative: choose your sources and create a Doc draft in seconds, build complex Sheets 9X faster, or generate on-brand Slide layouts with a simple prompt. Plus, Drive now generates summarized answers right at the top of your search results so no more digging through folders. Rolling out today in beta, available first to Ultra + Pro subscribers in English globally for Docs, Sheets and Slides, and in the US for Drive.

I'll be giving a talk at the PyAI conf today. Below are the notes incase you can't make it: https://t.co/oZyVIAjjmn

Sandbar has closed a $23m Series A led by Adjacent and Kindred Ventures We aim to augment individuals in an agentic world Batch 2, developers, careers, & a mini preview below https://t.co/VUhlbQmqUq

Sparse-BitNet 1.58-bit LLMs are Naturally Friendly to Semi-Structured Sparsity paper: https://t.co/4QzqCY8MgA https://t.co/dcqvUo4KzY

Amazing advance in Frontier Math by GPT-5.4 Pro! It really is a super smart AI model!

@marcmenase @lxbrun Thanks for your support!

today is my last day at hugging face feeling really grateful to have worked with such an amazing team and learned so much along the way. i’m proud of what we accomplished together, especially the smollm series. building that project from scratch, putting so much into it, and getting to iterate on a model and training recipe that pushed the frontier for its size was really rewarding i hope i was able to play a part in making model training more accessible and in pushing the open model ecosystem forward. i’m also very thankful to hf for giving me the chance to share my passion for llm research, especially here, and to connect with so many awesome people things can get quite intense in this field, but i’m still very excited about the next challenges and about the good this technology can do but first, taking a few weeks break :)

today is my last day at hugging face feeling really grateful to have worked with such an amazing team and learned so much along the way. i’m proud of what we accomplished together, especially the smollm series. building that project from scratch, putting so much into it, and getting to iterate on a model and training recipe that pushed the frontier for its size was really rewarding i hope i was able to play a part in making model training more accessible and in pushing the open model ecosystem forward. i’m also very thankful to hf for giving me the chance to share my passion for llm research, especially here, and to connect with so many awesome people things can get quite intense in this field, but i’m still very excited about the next challenges and about the good this technology can do but first, taking a few weeks break :)

I think it’s pretty clear that simulation is the next frontier for AI. The most impressive feats of AI to date are when we have a clear environment + reward, whether it be beating Le Sedol at Go, winning an IMO gold medal, or writing entire apps from scratch. In these cases, the RL algorithm can try different actions, and observe the well-defined consequences in the safety of a docker container. But what about messy real-world situations involving people? The rewards are unclear, the stakes are high, and you can’t experiment in the real world. But these situations are precisely where the next big opportunity in AI is. To crack this, we need to *simulate* society (“put society into a docker container”). Concretely, this means building a model that can predict what will happen in any given situation (real or hypothetical). If we can do this, we are only limited by our imagination: predict the future, optimize for better outcomes, answer hypothetical (“what if”) questions. Ultimately, this goes beyond making better decisions, but it’s about giving us a better understanding of ourselves and the world. Simulation is the whole enchilada. And this is exactly the research that @simile_ai is working on. Read more here: https://t.co/eBMW2beHdT

OpenAI is still ahead in the AI revenue race at $25B annually, though Anthropic’s recent growth is quickly closing the gap. https://t.co/naFS6LaOG9

On this topic: https://t.co/PzMmZ9X8PK